class: center, middle, inverse, title-slide # SIVOCS --- <style> .center2 { margin: 0; position: absolute; top: 50%; left: 50%; -ms-transform: translate(-50%, -50%); transform: translate(-50%, -50%); } .large { font-size: 130% } .small { font-size: 70% } .remark-slide-content.hljs-default { border-top: 60px solid #23373B; } .remark-slide-content > h1 { font-size: 30px; margin-top: -75px; } </style> # B1 (NEW): Kruskal-Wallis test: SI familiarity depends on sci. domains? ``` ## ## Bartlett test of homogeneity of variances ## ## data: familiarWithSI.response. by domain ## Bartlett's K-squared = 12.931, df = 2, p-value = 0.001556 ``` ``` ## ## Kruskal-Wallis rank sum test ## ## data: familiarWithSI.response. by domain ## Kruskal-Wallis chi-squared = 45.694, df = 2, p-value = 1.196e-10 ``` * Mean ranks of the groups are not the same, SI fam. depends on domain --- ## ## Bartlett test of homogeneity of variances ## ## data: familiarWithSI.response. by domain ## Bartlett's K-squared = 12.931, df = 2, p-value = 0.001556 --- # B1: Wilcox test: SI familiarity depends on sci. domains? .pull-left[ * SSH vs other ``` ## ## Wilcoxon rank sum test with continuity correction ## ## data: familiarWithSI.response. by SSH ## W = 8590, p-value = 2.001e-11 ## alternative hypothesis: true location shift is not equal to 0 ## 95 percent confidence interval: ## -3.000023 -1.999999 ## sample estimates: ## difference in location ## -2.000026 ``` ] .pull-right[ * NS vs other ``` ## ## Wilcoxon rank sum test with continuity correction ## ## data: familiarWithSI.response. by Math._Natur._and_Eng. ## W = 17358, p-value = 0.003771 ## alternative hypothesis: true location shift is not equal to 0 ## 95 percent confidence interval: ## 0.0000604398 1.0000123644 ## sample estimates: ## difference in location ## 0.9999553 ``` ] --- # B1: *Familiarity with SI* across scientific domains <br> <img src="data:image/png;base64,#7779_int_meeting_files/figure-html/unnamed-chunk-5-1.svg" width="864" style="display: block; margin: auto;" /> <br> <br> * *Familiarity with SI* differs across scientific domains (ANOVA test: p < 0.05) * *Biology and Medicine* and *Math., Natur, and Eng. Sci.* are similar (pairwise t-test: p > 0.05) * *Humanities and Social Sciences* are significantly different than the others (pairwise t-test with each: p < 0.05)